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Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/13305

Title: A novel method for computing the minimum spanning tree and solution based on cellular neural networks implemented on digital platforms
Authors: Do T.T.
Chedjou J.C.
Fasih A.
Kyamakya K.
Keywords: Cellular neural networks
Lagrangian relaxation
Minimum spanning tree
Multivariate optimization
NP-hard problems
Issue Date: 2009
Publisher: Proceedings of 2009 2nd International Workshop on Nonlinear Dynamics and Synchronization, INDS 2009
Citation: Volume , Issue , Page 23-29
Abstract: We present a novel method for transforming graph theoretical problems into optimization problems and computing the minimum spanning tree (MST) of weighted and undirected graphs. The computing using Cellular Neural Networks (CNN) is considered for ultra-fast solutions when dealing with graphs of complex topology. As proof of concepts of the proposed method, simulations are performed on graphs of magnitude 11 and degree 8. The results obtained show the efficiency of the novel method.
URI: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/13305
ISSN: 
Appears in Collections:New - Articles of Universities of Vietnam from Scopus

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